Learn More
— We describe an effective method for image encryption which employs magnitude and phase manipulation using carrier images. Although it involves traditional methods like magnitude and phase encryptions, the novelty of this work lies in deploying the concept of carrier images for encryption purpose. To this end, a carrier image is randomly chosen from a set(More)
— We introduce an effective approach for automatic offline au-injuries, illness, temperature, age and emotional state as well thentication of handwritten samples where the forgeries are skillfully done, as external factors such as alcohols and drugs [3] – an original i.e., the true and forgery sample appearances are almost alike. Subtle details piece of(More)
Multiple-Input Multiple-Output (MIMO) technology using Orthogonal Frequency Division Multiplexing (OFDM) together called MIMO-OFDM has emerged as the viable alterative to meet the demands of greater bandwidth and quality of service of the ever expanding mobile communication networks. For MIMO-OFDM systems channel estimation is one of the challenging issues.(More)
— This paper presents a single correlator RAKE receiver for direct sequence code division multiple access (DS-CDMA) systems. In conventional RAKE receivers, multiple correlators are used to despread the multipath signals and then to align and combine those signals in a later stage before making a bit decision. The simplified receiver structure presented(More)
Stochastic nature of wireless channels has continued to make channel estimation a challenging issue. The statistical nature of wireless channels can be tackled using an Artificial Neural Network (ANN) like a multi layer perceptron (MLP) which can be used to provide channel estimation and symbol recovery to minimize the deficiencies of multi-user(More)
Estimation of Multi Input Multi Output (MIMO) channels can be performed by Artificial Neural Network (ANN)s such as Multi Layer Perceptron (MLP)s. However, the cost of training overload in case of time varying MIMO channels is the main bottleneck of such ANN architectures for which a viable alterative, namely, the Recursive Recurrent Network (RNN) is(More)
—Maximal length sequences (m-sequences) are also known as pseudo random sequences or pseudo noise sequences for closely following Golomb's popular randomness properties: (P1) balance, (P2) run, and (P3) ideal autocorrelation. Apart from these, there also exist certain other less known properties of such sequences all of which are discussed in this tutorial(More)